Results 51 to 60 of about 76,495 (193)

High resolution catalog of the Luxian (Sichuan, China) MS6.0 earthquake sequence and analysis of the seismogenic structuresKey points

open access: yesEarthquake Science
The epicenter of the Luxian MS6.0 earthquake on September 16, 2021, was located in the southern Sichuan Basin, which is a historically seismically quiescent area.
Huili Guo   +6 more
doaj   +1 more source

Alert System of Earthquake Detection

open access: yesInternational Journal for Research in Applied Science and Engineering Technology, 2021
Abstract: Global warning shows unpredictablenature that changes in subsurface geologicfeatures. Due to the complex nature ofseismic events, it is challengeable task to efficiently identify the prominent features that leads to seismic events. Taking the advantage of availability of Seismic dataset, AI using machine learning is a powerful statistical ...
openaire   +1 more source

Reverse Detection of Short-Term Earthquake Precursors [PDF]

open access: yes, 2003
We introduce a new approach to short-term earthquake prediction based on the concept of selforganization of seismically active fault networks. That approach is named "Reverse Detection of Precursors" (RDP), since it considers precursors in reverse order ...
A. Gabrielov   +33 more
core   +1 more source

Block Motion Changes in Japan Triggered by the 2011 Great Tohoku Earthquake [PDF]

open access: yes, 2017
Plate motions are governed by equilibrium between basal and edge forces. Great earthquakes may induce differential static stress changes across tectonic plates, enabling a new equilibrium state.
Loveless, John P., Meade, Brendan J.
core   +3 more sources

Is Earthquake Triggering Driven by Small Earthquakes? [PDF]

open access: yes, 2002
Using a catalog of seismicity for Southern California, we measure how the number of triggered earthquakes increases with the earthquake magnitude. The trade-off between this relation and the distribution of earthquake magnitudes controls the relative ...
Helmstetter, Agnes
core   +4 more sources

Fit-for-Purpose Approach for the Detection and Analysis of Earthquake Surface Ruptures Using Satellite Images

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Coseismic surface ruptures are the ground truth of earthquake rupture along faults, and detailed mapping of earthquake surface ruptures provides an opportunity to understand the relationship between earthquakes and faults. One of the most effective tools
Yire Choi, Jin-Hyuck Choi, Yeonju Choi
doaj   +1 more source

Earthquake detection by computer

open access: yesEos, Transactions American Geophysical Union, 1972
A new computer model has been developed that describes the way rock formations dilate under stress. This computer, used in conjunction with laboratory observations of rock deformation, has provided ‘the first significant step toward predicting the place, time and even magnitude of an impending earthquake,’ according to J.T.
openaire   +1 more source

Magnitude estimation for early warning applications using the initial part of P waves: A case study on the 2008 Wenchuan sequence [PDF]

open access: yes, 2009
A period parameter τ_c and an amplitude parameter Pd determined from the very beginning of P wave are important for earthquake early warning (EEW), yet their dependence on source mechanism, focal depth and epicentral distance has not been fully studied ...
Chen, Yong   +3 more
core   +1 more source

Earthquake Prediction and Alert System Using IoT Infrastructure and Cloud-Based Environmental Data Analysis

open access: yesApplied Sciences
Earthquakes are one of the most life-threatening natural phenomena, and their prediction is of constant concern among scientists. The study proposes that abrupt weather parameter value fluctuations may influence the occurrence of shallow seismic events ...
Cosmina-Mihaela Rosca, Adrian Stancu
doaj   +1 more source

A Novel Approach for Earthquake Prediction Using Random Forest and Neural Networks

open access: yesEAI Endorsed Transactions on Energy Web, 2023
INTRODUCTION: This research paper presents an innovative method that merges neural networks and random forest   algorithms to enhance earthquake prediction.
Nidhi Agarwal   +3 more
doaj   +1 more source

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